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Journal of Intelligent Manufacturing

Ausgabe 5/2023

Inhalt (25 Artikel)

Automatic root cause analysis in manufacturing: an overview & conceptualization

Eduardo e Oliveira, Vera L. Miguéis, José L. Borges

Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review

Danil Yu Pimenov, Andres Bustillo, Szymon Wojciechowski, Vishal S. Sharma, Munish K. Gupta, Mustafa Kuntoğlu

Open Access

Pipeline for ontology-based modeling and automated deployment of digital twins for planning and control of manufacturing systems

Amon Göppert, Lea Grahn, Jonas Rachner, Dennis Grunert, Simon Hort, Robert H. Schmitt

Digital twin-driven dynamic scheduling of a hybrid flow shop

Khalil Tliba, Thierno M. L. Diallo, Olivia Penas, Romdhane Ben Khalifa, Noureddine Ben Yahia, Jean-Yves Choley

Image-based characterization of laser scribing quality using transfer learning

Mohammad Najjartabar Bisheh, Xinya Wang, Shing I. Chang, Shuting Lei, Jianfeng Ma

The 3D narrow butt weld seam detection system based on the binocular consistency correction

Xingguo Wang, Tianyun Chen, Yiming Wang, Dongliang Zheng, Xiaoyu Chen, Zhuang Zhao

Reconstruction of 3D surfaces from incomplete digitisations using statistical shape models for manufacturing processes

José M. Navarro-Jiménez, José V. Aguado, Grégoire Bazin, Vicente Albero, Domenico Borzacchiello

Convolutional neural networks for prediction of geometrical errors in incremental sheet metal forming

Darren Wei Wen Low, Akshay Chaudhari, Dharmesh Kumar, A. Senthil Kumar

Digital twin-based decision making paradigm of raise boring method

Fuwen Hu, Xianjin Qiu, Guoye Jing, Jian Tang, Yuanzhi Zhu

Nature inspired algorithms for the solution of inverse heat transfer problems applied to distinct unsteady heat flux orientations in cylindrical castings

Carlos Henrique da Silva-Santos, Pedro Roberto Goulart, Felipe Bertelli, Amauri Garcia, Noé Cheung

A novel disassembly process of end-of-life lithium-ion batteries enhanced by online sensing and machine learning techniques

Yingqi Lu, Maede Maftouni, Tairan Yang, Panni Zheng, David Young, Zhenyu James Kong, Zheng Li

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